Tortoise TTS

Tortoise TTS TTS

A quality-first autoregressive model — slow, but among the most realistic open-source speech available.

Upišite se za 5000 ograničenja znakova

Umotaj svoj tekst u SSML oznake za preciznu kontrolu:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Oznake odabrani model razumije — kliknite da bacite jedan u vaš tekst gdje se to događa:

Ovaj model čita običan tekst, tako da inline oznake se zanemaruju. Za tag-based emocije, prebaci na ekspresivni model kao što su Orfeus ili Bark.

Definiši vlastite izgovore (riječ = izgovor):

-12 +12
0.5x 2.0x
Besplatno s Piper, VITS, Melotts
Ovdje će se pojaviti vaš generirani zvuk. Odaberite model, unesite tekst i kliknite Generirati.
Zvučni generisan uspješno
0:00
Preuzmi zvuk Preuzmite.rt Veza isteče za 24 sata
Besplatna uporaba: osobna upotreba. Komercijalna licenca od $5/mo
Reci svojim prijateljima!

O Tortoise TTS

Tortoise TTS, created by James Betker, deliberately trades speed for quality. It is an autoregressive multi-voice system using a DALL-E-inspired architecture, and it produces some of the most realistic synthetic speech in the open-source ecosystem, with excellent prosody and speaker similarity. The name is a nod to its pace: it is noticeably slower than most alternatives, but the payoff is studio-grade output. It supports multiple voices and voice cloning (which benefits from a longer reference, around fifteen seconds), making it a long-standing favorite for audiobooks and premium narration where wait time is acceptable. Tortoise is English-focused and released under the permissive Apache 2.0 license.

Najbolje za: Audiobooks, premium content, quality-first applications

Pregledaj sve Tortoise TTS glasovi

Na jedan pogled

Programer
James Betker
Dozvola
Apache 2.0
Nivo
premium
Brzina
slow
Kloniranje glasa
-Da.
Jezici
English
Maks. znakova
2000

Tortoise TTS glasovi

Random

English
Premium Neutral

Tortoise TTS TTS – FAQ

It is autoregressive and uses a DALL-E-inspired architecture that deliberately prioritizes quality over speed. The trade-off is some of the most realistic open-source speech available, which is why it remains popular for audiobooks despite the wait.

Yes. It supports multi-voice synthesis and voice cloning; results improve with a longer reference, around fifteen seconds of clean audio.

Quality-first applications — audiobooks and premium narration — where its slow but highly realistic output is worth the generation time. It is English-focused and Apache 2.0 licensed.
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